Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 551-555.
Abstract
This paper presents a methodology for: assessing the degree of diagnosability of a system, i.e. given a set of sensors, which faults can be discriminated? and; characterising and determining the minimal additional sensors which guarantee a specified degree of diagnosability. This method has been applied to several subsys tems of a Ge neral Electric Frame 6 gas turbine owned by a major UK utility.
Louise Travé-Massuyès, Teresa Escobet, and Robert Milne. 2001. Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01. IJCAI, 551–555. https://ijcai.org/proceedings/2001/77
Travé-Massuyès, L., Escobet, T., & Milne, R. (2001). Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 (pp. 551–555). IJCAI. https://ijcai.org/proceedings/2001/77
@inproceedings{ijcai2001p77,
title = {Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem},
author = {Travé-Massuyès, Louise and Escobet, Teresa and Milne, Robert},
booktitle = {Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence, {IJCAI-01}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {551--555},
year = {2001},
url = {https://ijcai.org/proceedings/2001/77},
}
TY - CPAPER TI - Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem AU - Travé-Massuyès, Louise AU - Escobet, Teresa AU - Milne, Robert T2 - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 PB - International Joint Conferences on Artificial Intelligence PY - 2001 SP - 551 EP - 555 UR - https://ijcai.org/proceedings/2001/77 ER -Copied
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